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EXAMPLE QUESTIONS
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175 Blueprints
Turn any PDF, web page, or text document into structured JSON with OpenAI GPT-4o, then store the results in PostgreSQL and Slack.
Forecast 7-day demand with OpenAI GPT-4o, auto-generate purchase orders for stockout-risk SKUs, and log them to PostgreSQL every 6 hours.
Watch a local processing directory for finished output files, archive each one into a dated folder as it lands, and sweep stale .tmp scratch files left behind by interrupted runs.
Run Airbyte Cloud syncs in parallel, then trigger a dbt Cloud transformation job once the data lands.
Ingest Salesforce, Google Analytics, and Facebook Ads in parallel with Airbyte Cloud, then transform with dbt in one orchestrated ELT pipeline.
Run parallel Airbyte syncs, then transform raw data with dbt Core, all in one orchestrated ELT pipeline.
Stream RabbitMQ order messages into real-time executions, validate and forward them to an API, and route failures to a self-provisioned dead letter exchange.
Event-driven ingestion that lands new S3 files into an Apache Iceberg data lake and merges them with Amazon Athena.
Fetch JSON from a REST API and load it straight into MongoDB as a document, parameterized by a runtime input.
Call a REST API in a Dockerized Python task, save the JSON, and load it straight into a MongoDB collection.
Turn plain-English questions into PostgreSQL queries with OpenAI GPT-4o, grounded on schema only so no row data ever leaves your database.
Detect new files in S3 every hour and ingest them into an Apache Iceberg data lake with Git, Python, and Athena.
Detect new CSV files in S3, clean them with Python, and load them into an Apache Iceberg data lake on AWS Glue and Athena.
Download multiple CSV files over HTTP and merge them into a single multi-sheet Excel workbook.
Fetch weather data from an API, reshape it with DuckDB, and load it into InfluxDB as time series points.
A realtime Kafka trigger starts one execution per record, branches on the payload, and alerts Slack on anomalies.
Trigger an Airbyte Cloud connection sync on a recurring schedule so your data lands fresh without manual runs.
Trigger multiple Airbyte connection syncs in parallel from a single Kestra flow to cut total ingestion time.
Sync every HubSpot CRM object into BigQuery on a daily schedule using CloudQuery.
Automatically create HubSpot contacts from new and updated rows in your Postgres customers table.
Incrementally push freshly updated Postgres rows into an Algolia search index every five minutes.
Trigger an Apache Airflow DAG from Kestra and wait for it to finish.
Capture Postgres row changes with Debezium CDC, then notify Slack and process the new data in Python automatically.
Validate a nested order webhook payload for required fields with JSONata, flatten it into a flat record with computed totals, and only forward it once it passes.